meteostat.interpolate

Estimate weather data at a specific geographical point based on nearby weather stations.

• Type: Function
• Source Code: GitHub

Parameters

Parameter	Description	Data Type	Default Value
ts	A TimeSeries object containing weather data from nearby stations.	TimeSeries	Required
point	Geographical point specifying latitude, longitude, and elevation.	Point	Required
distance_threshold	Maximum horizontal distance in meters to use Nearest Neighbor. If None, only Nearest Neighbor will be used regardless of distance.	int or None	5000 (5 km)
elevation_threshold	Maximum elevation difference in meters to use Nearest Neighbor. If None, only Nearest Neighbor will be used regardless of elevation difference.	int or None	50 (50 m)
elevation_weight	Weight for elevation difference in distance calculation.	float	10
power	Power parameter for IDW (higher = more weight to closer stations).	float	2
lapse_rate	Lapse rate in °C per 1000 meters for temperature adjustment. If None, no adjustment will be applied.	float or None	6.5
lapse_rate_threshold	Minimum elevation difference in meters to apply lapse rate adjustment	int	50 (50 m)

Returns

TimeSeries

Time series object with interpolated weather data for the specified point.

Example

from datetime import date
import meteostat as ms

# Specify location and time range
POINT = ms.Point(50.1155, 8.6842, 113)  # Coordinates with elevation
START = date(2018, 1, 1)
END = date(2018, 12, 31)

# Get nearby weather stations
stations = ms.stations.nearby(POINT, limit=4)

# Get daily data and perform interpolation
ts = ms.daily(stations, START, END)
df = ms.interpolate(ts, POINT).fetch()

print(df)